Evidence from the Machine Learning for Peace Dataset
PDRI-DevLab
University of Pennsylvania
May 17, 2024
Jeremy Springman, Erik Wibbels, Serkant Adiguzel, Mateo Villamizar Chaparro, Zung-Ru Lin, Donald Moratz, Diego Romero, Hanling Su,
Background:
Foreign Influence:
Input: Online news
Data quality
Output: Monthly data
Period | Accuracy | |||
|---|---|---|---|---|
False Positive | True Positive | Total | ||
Aug-Jan | Count | 2 | 3 | 5 |
Row pct | 40.0% | 60.0% | ||
Feb (Pre) | Count | 4 | 7 | 11 |
Row pct | 36.4% | 63.6% | ||
Feb (Post) | Count | 8 | 5 | 13 |
Row pct | 61.5% | 38.5% | ||
March | Count | 3 | 2 | 5 |
Row pct | 60.0% | 40.0% | ||
Total | Count | 17 | 17 | 34 |
Period | Accuracy | |||
|---|---|---|---|---|
False Positive | True Positive | Total | ||
Aug-Jan | Count | 5 | 6 | 11 |
Row pct | 45.5% | 54.5% | ||
Feb (Pre) | Count | 3 | 1 | 4 |
Row pct | 75.0% | 25.0% | ||
Feb (Post) | Count | 4 | 1 | 5 |
Row pct | 80.0% | 20.0% | ||
March | Count | 2 | 1 | 3 |
Row pct | 66.7% | 33.3% | ||
Total | Count | 14 | 9 | 23 |
mlpeace.org/rai